Platform

The warehouse intelligence platform built for throughput

DepotIQ combines computer vision, predictive AI, and real-time optimization to turn warehouse operations data into actionable decisions — from layout design to last-mile pick routing.

Reduce travel distance by up to 34%

Computer Vision Layout Analysis

DepotIQ processes camera and sensor feeds to build a living map of your warehouse floor. It tracks movement patterns, identifies dead zones, measures aisle utilization, and recommends layout changes that reduce travel distance and improve flow. Recommendations are backed by actual movement data, not assumptions.

Use Cases

Fulfillment centers reposition high-velocity SKUs closer to packing stations based on real pick frequency
3PL providers reconfigure client zones when seasonal inventory mix shifts
Operations teams validate layout changes with before-and-after throughput comparisons
Computer Vision Layout Analysis
Predict bottlenecks 45 minutes ahead

Predictive Bottleneck Detection

DepotIQ's AI models analyze historical throughput, real-time order volume, staffing levels, and zone activity to predict congestion 30-45 minutes before it impacts operations. Alerts include specific zones, estimated severity, and suggested mitigations like rerouting or temporary staffing shifts.

Use Cases

Shift supervisors receive early warnings about dock congestion during peak inbound windows
Operations managers preemptively redistribute pickers before zone saturation hits
Planning teams use bottleneck history to justify infrastructure investments with data
Predictive Bottleneck Detection
18% faster order fulfillment

Dynamic Pick-Path Routing

Every pick list is routed in real time based on current inventory positions, zone congestion, order priority, and picker location. As conditions change on the floor — a zone gets crowded, a replenishment blocks an aisle — routes update automatically. Pickers follow optimized paths on mobile devices.

Use Cases

E-commerce fulfillment teams reduce average pick time during flash sale surges
Multi-zone warehouses eliminate cross-traffic by routing pickers through low-congestion paths
Managers track route efficiency per picker and identify coaching opportunities
Dynamic Pick-Path Routing
92% forecast accuracy on restock timing

Inventory Flow Forecasting

DepotIQ tracks SKU velocity, inbound schedules, seasonal demand curves, and storage capacity to predict inventory pressure points. It flags when and where replenishment is needed, when storage zones will hit capacity, and which SKUs are at risk of stockout — days before traditional systems catch it.

Use Cases

Warehouse planners schedule replenishment waves based on predicted pick demand, not lagging reports
3PL operators proactively notify clients about capacity constraints before they become service failures
Procurement teams align inbound shipments with actual consumption velocity
Inventory Flow Forecasting
Automated performance benchmarking

Shift Performance Analytics

Track throughput per zone, per shift, and per team without manual time studies. DepotIQ automatically benchmarks performance, identifies variance between shifts, and surfaces the operational changes that drive results. Dashboards are built for ops managers, not data scientists.

Use Cases

Operations directors compare shift performance across facilities in a single view
Supervisors identify which process changes improved throughput and which created friction
HR and training teams use performance data to design targeted onboarding for new hires
Shift Performance Analytics
Integrations

Connects to your existing stack

Plug into the WMS, shipping, and analytics tools you already use.

Manhattan Associates
WMS
Blue Yonder
WMS
SAP EWM
WMS
Oracle WMS Cloud
WMS
Körber
WMS
ShipStation
Shipping
Shopify Fulfillment
E-commerce
Amazon MCF
E-commerce
Slack
Communication
Microsoft Teams
Communication
Power BI
Analytics
Zapier
Automation
Use Cases

Built for every warehouse operation

For E-commerce Fulfillment

Optimize pick-pack-ship workflows for high-SKU, high-volume operations where speed and accuracy directly impact customer satisfaction and return rates.

For 3PL Providers

Manage multi-client warehouse operations with per-client analytics, dynamic space allocation, and SLA-aware routing across shared facilities.

For Distribution Centers

Coordinate inbound receiving, cross-docking, and outbound staging with predictive models that keep goods moving and docks clear.

Ready to see what your warehouse data can do?

Join operations teams using DepotIQ to cut travel distance, predict bottlenecks, and turn fulfillment centers into high-performance systems.